XG Boost in Mental Health Classification

Fall 2025 Capstone for Data Science

Aabiya Mansoor, Abigail Penza Jackson, Corina Rich, Madelyn Champion (Advisor: Dr. Cohen)

2025-11-16

Introduction

  • Develop a storyline that captures attention and maintains interest.

  • Your audience is your peers

  • Clearly state the problem or question you’re addressing.

  • Introduce why it is relevant needs.

  • Provide an overview of your approach.

In kernel estimator, weight function is known as kernel function (efr2008?). Cite this paper (bro2014principal?). The GEE (wang2014?). The PCA (daffertshofer2004pca?)*

Methods

  • Detail the models or algorithms used.

  • Justify your choices based on the problem and data.

Data Exploration and Visualization

  • Describe your data sources and collection process.

  • Present initial findings and insights through visualizations.

  • Highlight unexpected patterns or anomalies.

Data Exploration and Visualization

A study was conducted to determine how…

Modeling and Results

  • Explain your data preprocessing and cleaning steps.

  • Present your key findings in a clear and concise manner.

  • Use visuals to support your claims.

  • Tell a story about what the data reveals.

Conclusion

  • Summarize your key findings.

  • Discuss the implications of your results.

References